如果你的目标是100%的覆盖率(而不是100%测试所有功能)，那么代码覆盖率就是一个误导的指标。

你可以通过一次命中所有的线来获得100%。然而，您仍然可能错过测试这些行命中的特定序列(逻辑路径)。 您不能得到100%，但仍然测试了所有80%/频率使用的代码路径。测试每个“抛出ExceptionTypeX”或类似的防御性编程保护是“有就好”而不是“必须”

所以要相信你自己或你的开发人员是彻底的，并覆盖他们代码中的每一条路径。要务实，不要追求神奇的100%覆盖率。如果你用TDD开发你的代码，你应该得到90%以上的覆盖率作为奖励。使用代码覆盖来突出你错过的代码块(如果你使用TDD就不应该发生这种情况。因为您编写代码只是为了通过测试。没有伙伴测试，任何代码都不能存在。)

如果这是一个完美的世界，100%的代码将被单元测试覆盖。然而，因为这不是一个完美的世界，这是一个你有时间做什么的问题。因此，我建议少关注特定的百分比，而更多地关注关键领域。如果你的代码写得很好(或者至少是一个合理的副本)，应该有几个关键点将api暴露给其他代码。

将您的测试工作集中在这些api上。确保api是1)良好的文档化的，2)已经编写了与文档相匹配的测试用例。如果预期的结果与文档不匹配，那么您的代码、文档或测试用例中都存在bug。所有这些都是值得调查的。

好运！

我想分享另一个关于测试报道的趣闻。

我们有一个巨大的项目，在twitter上，我注意到，700个单元测试，我们只有20%的代码覆盖率。

斯科特·汉塞尔曼的回答充满智慧:

这是正确的20%吗?是20%吗 代表您的用户的代码 打击最大?你可能会再加50个 测试后只添加2%

这又回到了我关于代码覆盖率的答案。你应该在锅里放多少米?视情况而定。

Alberto Savoia的这篇散文恰好回答了这个问题(以一种非常有趣的方式!):

http://www.artima.com/forums/flat.jsp?forum=106&thread=204677

Testivus On Test Coverage Early one morning, a programmer asked the great master: “I am ready to write some unit tests. What code coverage should I aim for?” The great master replied: “Don’t worry about coverage, just write some good tests.” The programmer smiled, bowed, and left. ... Later that day, a second programmer asked the same question. The great master pointed at a pot of boiling water and said: “How many grains of rice should I put in that pot?” The programmer, looking puzzled, replied: “How can I possibly tell you? It depends on how many people you need to feed, how hungry they are, what other food you are serving, how much rice you have available, and so on.” “Exactly,” said the great master. The second programmer smiled, bowed, and left. ... Toward the end of the day, a third programmer came and asked the same question about code coverage. “Eighty percent and no less!” Replied the master in a stern voice, pounding his fist on the table. The third programmer smiled, bowed, and left. ... After this last reply, a young apprentice approached the great master: “Great master, today I overheard you answer the same question about code coverage with three different answers. Why?” The great master stood up from his chair: “Come get some fresh tea with me and let’s talk about it.” After they filled their cups with smoking hot green tea, the great master began to answer: “The first programmer is new and just getting started with testing. Right now he has a lot of code and no tests. He has a long way to go; focusing on code coverage at this time would be depressing and quite useless. He’s better off just getting used to writing and running some tests. He can worry about coverage later.” “The second programmer, on the other hand, is quite experience both at programming and testing. When I replied by asking her how many grains of rice I should put in a pot, I helped her realize that the amount of testing necessary depends on a number of factors, and she knows those factors better than I do – it’s her code after all. There is no single, simple, answer, and she’s smart enough to handle the truth and work with that.” “I see,” said the young apprentice, “but if there is no single simple answer, then why did you answer the third programmer ‘Eighty percent and no less’?” The great master laughed so hard and loud that his belly, evidence that he drank more than just green tea, flopped up and down. “The third programmer wants only simple answers – even when there are no simple answers … and then does not follow them anyway.” The young apprentice and the grizzled great master finished drinking their tea in contemplative silence.

简单回答:60-80%

长一点的回答: 我认为这完全取决于你项目的性质。我通常通过单元测试每一个实际部分来开始一个项目。在项目的第一次“发布”时，你应该有一个相当不错的基于你所做的编程类型的基础百分比。在这一点上，您可以开始“强制”最小的代码覆盖率。

如果你的目标是100%的覆盖率(而不是100%测试所有功能)，那么代码覆盖率就是一个误导的指标。

你可以通过一次命中所有的线来获得100%。然而，您仍然可能错过测试这些行命中的特定序列(逻辑路径)。 您不能得到100%，但仍然测试了所有80%/频率使用的代码路径。测试每个“抛出ExceptionTypeX”或类似的防御性编程保护是“有就好”而不是“必须”

所以要相信你自己或你的开发人员是彻底的，并覆盖他们代码中的每一条路径。要务实，不要追求神奇的100%覆盖率。如果你用TDD开发你的代码，你应该得到90%以上的覆盖率作为奖励。使用代码覆盖来突出你错过的代码块(如果你使用TDD就不应该发生这种情况。因为您编写代码只是为了通过测试。没有伙伴测试，任何代码都不能存在。)